# Adapted from
# https://github.com/volcengine/verl/blob/v0.4.0/verl/models/weight_loader_registry.py
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

def merge_megatron_ckpt_gptmodel_deepseekv3(
        wrapped_models, config, dtype, is_value_model=False, tie_word_embeddings=False):
    raise NotImplementedError("merge_megatron_ckpt_gptmodel_deepseekv3 is not implemented")


def get_weight_saver(arch: str):
    from verl.models.mcore.saver import (merge_megatron_ckpt_gptmodel, merge_megatron_ckpt_gptmodel_mixtral,
                                         merge_megatron_ckpt_gptmodel_qwen_moe)

    _MODEL_WEIGHT_MEGATRON_SAVER_REGISTRY = {
        "LlamaForCausalLM": merge_megatron_ckpt_gptmodel,
        "Qwen2ForCausalLM": merge_megatron_ckpt_gptmodel,
        "MixtralForCausalLM": merge_megatron_ckpt_gptmodel_mixtral,
        "Qwen2MoeForCausalLM": merge_megatron_ckpt_gptmodel_qwen_moe,
        "Qwen3ForCausalLM": merge_megatron_ckpt_gptmodel,
        "Qwen3MoeForCausalLM": merge_megatron_ckpt_gptmodel_qwen_moe,
        "DeepseekV3ForCausalLM": merge_megatron_ckpt_gptmodel_deepseekv3,
    }
    if arch in _MODEL_WEIGHT_MEGATRON_SAVER_REGISTRY:
        return _MODEL_WEIGHT_MEGATRON_SAVER_REGISTRY[arch]
    raise ValueError(
        f"Model architectures {arch} saver are not supported for now. Supported architectures: "
        f"{_MODEL_WEIGHT_MEGATRON_SAVER_REGISTRY.keys()}")
